Differential steering vehicle dynamics control with rule-based fault-tolerant control strategy

In this paper, a rule-based fault-tolerant control strategy is proposed to improve the vehicle’s yaw stability as well as the dynamics of a six-wheel differential vehicle when the hub-motor drive system fails due to a variety of unpredictable factors during driving. Meanwhile, to address the problem of easy deterioration of dynamic control due to parameter uncertainty and actuator saturation in the vehicle motion system, an anti-saturation integral control is designed based on the Lyapunov method so as to ensure the accurate tracking of the reference signal by the vehicle. In order to verify the effectiveness of the method, four typical working conditions are designed in this paper to test the proposed fault-tolerant control strategy, including the straight driving working condition and forward steering working condition with unilateral motor failure, and the straight driving working condition and forward steering working condition with bilateral motor failure. The results show that in the four operating conditions, the error extremum of the center of mass lateral angle and yaw rate of the fault-tolerant control method was reduced by more than 79% compared to the error extremum of the center of mass lateral angle and yaw rate of the no fault-tolerant control method, this indicates that the rule-based fault-tolerant control strategy proposed in this article can effectively suppress the interference caused by partial drive system failures.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2025-08-10
DOI
https://doi.org/10.1177/09544070251345955
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Differential steering vehicle dynamics control with rule-based fault-tolerant control strategy

Jinwen Yang, Dequan Zeng, Lu Xiong, Yiming Hu et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Vehicle Dynamics and Control Systems
article

Differential steering vehicle dynamics control with rule-based fault-tolerant control strategy

Jinwen Yang, Dequan Zeng, Lu Xiong, Yiming Hu, Giuseppe Carbone, Yinquan Yu, Peizhi Zhang, Mingyu Zou
article en

Abstract

In this paper, a rule-based fault-tolerant control strategy is proposed to improve the vehicle’s yaw stability as well as the dynamics of a six-wheel differential vehicle when the hub-motor drive system fails due to a variety of unpredictable factors during driving. Meanwhile, to address the problem of easy deterioration of dynamic control due to parameter uncertainty and actuator saturation in the vehicle motion system, an anti-saturation integral control is designed based on the Lyapunov method so as to ensure the accurate tracking of the reference signal by the vehicle. In order to verify the effectiveness of the method, four typical working conditions are designed in this paper to test the proposed fault-tolerant control strategy, including the straight driving working condition and forward steering working condition with unilateral motor failure, and the straight driving working condition and forward steering working condition with bilateral motor failure. The results show that in the four operating conditions, the error extremum of the center of mass lateral angle and yaw rate of the fault-tolerant control method was reduced by more than 79% compared to the error extremum of the center of mass lateral angle and yaw rate of the no fault-tolerant control method, this indicates that the rule-based fault-tolerant control strategy proposed in this article can effectively suppress the interference caused by partial drive system failures.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Tongji University (CN), East China Jiaotong University (CN), University of Calabria (IT)
National Natural Science Foundation of China
Openalex Percentile: Top 79%
Vehicle Dynamics and Control Systems
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